DocumentCode :
2668847
Title :
Integration of first and last return LiDAR with hyperspectral data to characterize forested environments.
Author :
Niemann, K. Olaf ; Frazer, Gordon ; Loos, Rafael ; Visintini, Fabio ; Stephen, Roger
Author_Institution :
Univ. of Victoria, Victoria
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
1537
Lastpage :
1540
Abstract :
The fusion of active LiDAR and passive optical hyperspectral data allows us to characterize the forest environments in ways that have not been possible previously with only one data source. This paper describes an airborne platform configured to collect data from multiple sensors simultaneously. Data from the platform have been applied to describe forest environments both in terms to species and structure. Integration of the data yields information and characterization of forest environments than has been possible in the past.
Keywords :
forestry; optical radar; remote sensing by laser beam; sensor fusion; airborne platform; first return LiDAR; forested environments; hyperspectral imaging; last return LiDAR; multiple sensors; passive optical hyperspectral data; Biometrics; Data mining; Geography; Hyperspectral imaging; Hyperspectral sensors; Laser radar; Optical imaging; Optical sensors; Sensor phenomena and characterization; Spectroscopy; LiDAR; data fusion; forest attributes; hyperspectral; species clarification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423102
Filename :
4423102
Link To Document :
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